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A Tiny Task Network for Heterogeneous Sensor Networks

Contacts

Clemens Lombriser and Mirco Rossi

Description

Context recognition, such as gesture or activity recognition, is a key mechanism that enables ubiquitous computing systems to proactively support users. It becomes challenging in unconstrained environments such as those encountered in daily living, where it has to deal with heterogeneous networks, changing sensor availability, communication capabilities, and available processing power.
Titan is a framework that is specifically designed to perform context recognition in such dynamic sensor networks. Context recognition algorithms are represented by interconnected data processing tasks forming a task network. Titan adapts to different context recognition algorithms by dynamically reconfiguring individual sensor nodes to update the network wide algorithm execution.

Titan Architecture
Titan Architecture

Objectives

Code access

The Titan project code is available at Google code: http://code.google.com/p/titan

Publications

2009 2008 2007
 

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© 2012 ETH Zurich | Imprint | 8 December 2011
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